2D Log Gabor and composite coding method-based infrared iris authentication system and method

Abstract

The invention relates to a 2D Log Gabor and composite coding method-based infrared iris authentication system and a method. The authentication system comprises an infrared iris image acquisition module used for acquiring a to-be-recognized iris image; an iris feature extraction module used for extracting iris two-dimensional texture features through a 2D Log Gabor filter; an iris feature vector encoding module used for encoding extracted feature vectors through a composite coding method; and an iris feature code matching module used for carrying out feature classification and recognition by using a projection extreme learning machine as a classifier. The authentication method comprises the following steps of acquiring a to-be-recognized iris image and preprocessing the image; extracting iris texture features; encoding the feature vectors of the extracted iris texture features; classifying the features by adopting a projection extreme learning machine as a classifier; calculating the hamming distance according to the classification result; and judging whether irises are from the same person or not according to the hamming distance. The system and the method are high in authentication precision.

Description

technical field [0001] The invention relates to the field of identity authentication, in particular to an infrared iris authentication system and method based on 2D Log Gabor and a composite coding method. Background technique [0002] In recent years, with the continuous development of mobile Internet technology and the popularization of mobile electronic devices such as smart phones and tablet computers, more and more people have begun to enjoy the convenience brought by mobile electronic devices in online banking, mobile payment, mobile office and other aspects. According to statistics, in the third quarter of 2016 alone, the transaction scale of China's third-party mobile payment market reached 9,041.9 billion yuan. However, while these privacy applications are widely used, security issues should also be paid attention to, so the demand for security authentication of terminals is increasing day by day. The traditional password authentication mechanism mostly adopts the ...

AI Technical Summary

Problems solved by technology

Among them, the neural network has a high recognition rate, but the learning and training speed is slow, and there are also defects such as difficult to determine the learning rate and prone to overtraining.

Although the support vector machine can achieve good results, the box width and penalty factor of the support vector machine play an important role in the classification effect, but it is difficult to find the optimal parameters, so the model is also unstable.

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